Science Artificial Intelligence

What is artificial intelligence (AI)? What can it do and how is it created? In this highly accessible guide to the subject, Richard Urwin explains how AI came about and how it has developed over the years through the construction of ever more sophisticated computer programs. Along the way, you will discover numerous intriguing examples of how scientists have progressed the development of AI, as well as finding out how research into brain function is continually influencing this dynamic field.

The sky is not the limit. From an alley in New York to an interstellar wormhole, the path to the future looks different for everyone. These cosmic short stories from some of today’s most influential Black authors reveal a universe of possibilities.

Créez du contenu généré par l'IA et gagnez des revenus mensuels La ruée vers l'or de l'IA est en marche. ChatGPT et d'autres outils d'IA s'améliorent quotidiennement. Les créateurs publient du contenu à un rythme sans précédent. Cependant, une vitesse sans base ni stratégie solide est vouée à l'échec et peut être source de frustration. Millionnaire du Contenu IA est votre feuille de route pour créer du contenu qui convertit et devient viral. Vous pouvez opter pour une approche à haut volume, une approche de qualité supérieure, ou trouver votre équilibre entre les deux.

Discover how artificial intelligence is transforming the future of patient care, diagnostics, and clinical decision-making. Are you a healthcare professional, entrepreneur, or policy leader trying to keep up with the AI revolution? This groundbreaking audiobook is your essential guide to understanding how AI is disrupting the healthcare industry, reshaping everything from early disease detection to hospital workflows, drug discovery, and personalized medicine.

In Your AI Survival Guide, Sol Rashidi delivers an insightful and practical discussion of how to deploy artificial intelligence in your company. Having helped IBM launch Watson in 2011, Sol has firsthand knowledge of the ups, downs, and change management intricacies that can help you with a successful deployment beyond all the AI hype. She walks you through various frameworks for how to establish your AI strategy, pick your use cases, prepare your non-technology teams, and overcome the most common obstacles standing in the way of successfully implementing AI in your business.

Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

This audiobook is the conclusive history of the field of artificial intelligence (AI), following its history from the fantasies of early pioneers to the more effective work of the present AI engineers. The audiobook incorporates numerous outlines and straightforward depictions of AI programs that will enable the easygoing per user to increase a comprehension of how these and other AI frameworks really work. The work was written especially for beginners. The topic is treated with simplicity and it is easy to read and understand.

Equipped with the entirety of human knowledge, a sentient ship is launched on a last-ditch journey to find a new home for civilization. Trillions of miles. Tens of thousands of years. In the space between, the AI has plenty of time to think about life, the vastness of the universe, everything it was meant to do, and—with a perspective created but not limited by humans—what it should do.

In the age of Artificial Intelligence (AI) just beginning, where machines can ponder the most profound philosophical queries and offer insights born from vast troves of knowledge, AI will become a partner in our quest for understanding, a tool that amplifies our capacity for exploration and discovery. We stand at the cusp of revolutionary new breakthroughs in every field, as well as a point where we must be cautious of the dangers that AI poses to our future.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

We've arrived in a new era—GenAI is reshaping industries and decision-making processes across the board. As a result, understanding their potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape.

Your gateway into the future of automation—perfect for beginners, busy professionals, and side-hustlers. Whether you’re a solopreneur, student, or creative, this no-fluff guide walks you through real-world projects that automate tasks, boost productivity, and build intelligent AI agents—without writing a single line of code.

In ten short and informative essays, Professor of AI at University College London, Tim Rocktäschel, reveals everything we need to know about artificial intelligence. From what the futures holds for AI and why it continues to improve with more data, to how superhuman AI is attainable and why we still have to fold our own laundry, discover all of this and much, much more!

Embark on a compelling exploration into the world of AI, where future reality meets boundless possibility. Can you afford to remain in the dark? When you watch a movie suggested by Netflix's AI, talk to your favorite brand's chatbot, or follow your car's navigation to the new restaurant in town, you interact with AI. Most people are spectators rather than actors in this fast-evolving digital epoch. This is where the insightful journey author Will Davis guides you on will change your perspective.

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

What Tech Calls Thinking is a lively dismantling of the ideas that form the intellectual bedrock of Silicon Valley. Equally important to Silicon Valley’s world-altering innovation are the language and ideas it uses to explain and justify itself. And often, those fancy new ideas are simply old motifs playing dress-up in a hoodie. From the myth of dropping out to the war cry of “disruption”, Daub locates the Valley’s supposedly original, radical thinking in the ideas of Heidegger and Ayn Rand, the New Age Esalen Foundation in Big Sur, and more.

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

This new edition introduces operation and design techniques for Sigma-Delta converters in physical and conceptual terms, and includes chapters which explore developments in the field over the last decade. Includes information on MASH architectures, digital-to-analog converter (DAC) mismatch and mismatch shaping